NMR-based metabolomic profiling can differentiate follicular lymphoma from benign lymph node tissues and may be predictive of outcome.

Autor: Banoei MM; Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada., Mahé E; Department of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada. Etienne.mahe@medportal.ca., Mansoor A; Department of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada., Stewart D; Departments of Oncology and Medicine, University of Calgary and Tom Baker Cancer Centre, Calgary, AB, Canada., Winston BW; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada., Habibi HR; Department of Biological Sciences, University of Calgary, Calgary, AB, Canada., Shabani-Rad MT; Department of Pathology and Laboratory Medicine, Foothills Medical Centre, Cumming School of Medicine, University of Calgary, McCaig Tower, Room MT7523, 1403 29 St NW, Calgary, AB, T2N 2T9, Canada.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 May 18; Vol. 12 (1), pp. 8294. Date of Electronic Publication: 2022 May 18.
DOI: 10.1038/s41598-022-12445-5
Abstrakt: Follicular lymphoma (FL) is a cancer of B-cells, representing the second most common type of non-Hodgkin lymphoma and typically diagnosed at advanced stage in older adults. In contrast to the wide range of available molecular genetic data, limited data relating the metabolomic features of follicular lymphoma are known. Metabolomics is a promising analytical approach employing metabolites (molecules < 1 kDa in size) as potential biomarkers in cancer research. In this pilot study, we performed proton nuclear magnetic resonance spectroscopy ( 1 H-NMR) on 29 cases of FL and 11 control patient specimens. The resulting spectra were assessed by both unsupervised and supervised statistical methods. We report significantly discriminant metabolomic models of common metabolites distinguishing FL from control tissues. Within our FL case series, we also report discriminant metabolomic signatures predictive of progression-free survival.
(© 2022. The Author(s).)
Databáze: MEDLINE
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